Plans and tools to support automation (Data detokenization and Code Refactoring) verification in advance of Cutover (Drop cycle) Downstream Systems: 1)Analysis and documentation of all downstream systems.
- Develop plans and tools to support downstream systems in preparation for cut over User Acceptance Testing:
Work with CFU representatives to formulate a fit for purpose UAT approach.
This will include the identification of reports and dashboards that will be tested as part of UAT and Cutover Plans and tools to support Automation (Data detokenization and Code Refactoring) verification as part of Cutover process, including Go/No Go Testing Metrics and Reporting: In support of proceed and Go/No Go decisions, Participation in the Hypercare squad Strong GCP data‑testing expertise — BigQuery, GCS, Dataflow, Composer, Pub/Sub; large‑scale data validation and lineage checks.
Deep data/ETL testing skills — high‑volume pipelines, reconciliation, DQ rules, transformation validation, detokenisation testing. AI‑driven testing experience — self‑healing frameworks, AI‑assisted test generation, predictive test selection, automation optimisation. Automation leadership — building and maintaining automation frameworks; Python/SQL expertise for data validation. Quality strategy for large programmes — master test planning, end‑to‑end orchestration, defect governance, readiness reporting.Strong stakeholder management — clear communication, partnering across engineering, delivery, architecture, and vendors. Domain awareness — telco data flows, privacy‑critical signals, secure data handling, exposure controls, regulatory considerations.
